Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.
Listed rates
Price across providers
Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.
Lowest input$1.6/M
Across 32 priced providers
Median input$2/M
Midpoint of listed rates
Highest input$2.4/M
1.5× the lowest listed rate
Output range$4.8 – $6.857
Per million output tokens
Vancine$1.6/MLowest
Deep Infra$1.65/M
AIHubMix$1.69/M
Ofox$1.71/M
Alibaba (China)$1.777/M
SCX.ai$1.815/M
CrossModel$1.88/M
EmpirioLabs AI$2/M
Kilo Gateway$2/M
Merge Gateway$2/M
Vercel AI Gateway$2/M
OpenRouter$2/M
NanoGPT$2/M
Alibaba$2/M
Ofox$2/M
Fireworks AI$2/M
Abacus$2/M
Eden AI$2/M
OrcaRouter$2/M
LLM Gateway$2/M
Cloudflare AI Gateway$2/M
Requesty$2/M
ClinePass$2/M
NanoGPT$2/M
Opper$2/M
OpenCode$2/M
GMI Cloud$2/M
Novita AI$2/M
AI/ML API$2/M
CommandCode$2/M
302.AI$2.16/M
Kenari$2.4/M
Cost calculator
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Excludes taxes, non-token charges, and tiered discounts.
Context limits also differ by provider, from 256K to 1.04858M tokens. Compare the provider table above before choosing on price alone.
Specification
Capabilities
Recorded from the source catalog and provider listings.
Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
Each axis is this model's percentile among the 7 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.
Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.
Cost against capability
Price and performance
Listed input price plotted against Agents' Last Exam, the benchmark with the widest published coverage that this model appears in.
The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.
Catalog activity
Change log
Field-level changes detected between successful source imports.
Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
What is Qwen3.8 Max?
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows. It is published by Alibaba Qwen and catalogued here from Models.dev.
How much does Qwen3.8 Max cost?
Listed input pricing starts at $1.6 per million tokens from Vancine, rising to $2.4 across 32 listed providers.
What is the context length of Qwen3.8 Max?
Qwen3.8 Max accepts up to 1M tokens of context and returns up to 131.072K output tokens.
Does Qwen3.8 Max support tool calling and structured output?
Provider catalogs list support for tool calling, reasoning, and image input.
Which providers serve Qwen3.8 Max?
33 providers list this model: Alibaba Token Plan, Alibaba Token Plan (China), SCNet Token Plan, Vancine, Deep Infra, AIHubMix and 27 more.
Are the weights for Qwen3.8 Max open?
No. This model is served through hosted APIs only.
When was Qwen3.8 Max released?
The catalog records a release date of 2026-08-03, last verified Oct 24, 2026.
Alibaba Token Plan
Deep Infra
AIHubMix
Ofox
CrossModel
Merge Gateway
OpenRouter
Fireworks AI
Abacus
OrcaRouter
LLM Gateway
Cloudflare AI Gateway
Requesty
OpenCode
GMI Cloud
Novita AI
Kenari